94 results about "Patient input" patented technology

A system and related method for identifying a trigger event to a patient health-related exacerbation. The system includes at least one sensor configured to collect data related to the patient health-related exacerbation, an analyzer configured to validate the collected data, a patient interface device configured to receive patient inputs to at least one question, and an identifier device configured to receive the patient inputs and collected data and identify the trigger event. The system may also include an expert system configured to receive the patient inputs and the validated collected data and identify a primary patient disease, and a reporting device configured to generate reports related to the identified primary patient disease, patient inputs, and sensed patient conditions.

This invention relates to an interactive medication container or console that hold or otherwise organizes one or more medication vials or containers. Each vial has a memory strip containing medication and prescription information. Each vial can also include a reminder unit that is attached to and portable with the individual vials. The console or reminder unit reads the information strip of the vial and communicates this information to or interacts with a patient to remind them to take the medication. The medication container or reminder unit also gathers or tracks information such as consumption time, quantity remaining, patient feedback, and contraindication information. The medication container or reminder unit interacts with the patient by displaying questions or receiving and recording input from the patient before, during or after a dose of medication is taken. The patient input can be used to modify the dosing regimen for future doses of medication. The medication container reorders medication when the quantity remaining reaches a threshold level. Contraindication information in the memory strip is downloaded to a personal home computer or a hospital or nursing home computer.

This invention relates to an interactive medication container or console that hold or otherwise organizes one or more medication vials or containers. Each vial has a memory strip containing medication and prescription information. Each vial can also include a reminder unit that is attached to and portable with the individual vials. The console or reminder unit reads the information strip of the vial and communicates this information to or interacts with a patient to remind them to take the medication. The medication container or reminder unit also gathers or tracks information such as consumption time, quantity remaining, patient feedback, and contraindication information. The medication container or reminder unit interacts with the patient by displaying questions or receiving and recording input from the patient before, during or after a dose of medication is taken. The patient input can be used to modify the dosing regimen for future doses of medication. The medication container reorders medication when the quantity remaining reaches a threshold level. Contraindication information in the memory strip is downloaded to a personal home computer or a hospital or nursing home computer.

An apparatus, system, and method are disclosed for determining a patient's condition. A system for determining a patient's condition, in one embodiment, comprises a computer processor device, an interface between the computer processor and one or more patient monitoring devices, and a software program configured to interpret patient input data, diagnose the patient's condition, and recommend treatment options. A method for determining a patient's condition may comprise receiving patient data from one or more patient monitoring devices, consulting a treatment database, determining a diagnosis, and converting a diagnosis into a treatment.

The invention relates to an intelligent medical treatment personalization recommendation system and an implementation method thereof. The intelligent medical treatment personalization recommendation system is composed of a wireless sensing network and a personalization recommendation platform. The wireless sensing network acquires current key physical indexes of a patient and sends the current key physic indexes to the platform through a wireless network, and the patient inputs relevant symptoms on the platform. The personalization recommendation platform is a framework based on a B/S three-layer mode. The personalization recommendation platform analyzes former physical indexes of patients treated by doctors stored in a database based on the data acquired by the sensor and the data input by the patient, and excavates and analyzes treatment information of other patients similar with the symptoms of the patient and the former treatment records of the patient per se by using a data mining algorithm so as to provide personalization recommendation to the current patient. The patient can send an email to make an appointment based on a recommendation result.

A glycemic control system includes a physician processor, remote processor, and a portable telephone having a data input mechanism, a display, and an internal processor for bi-directional communication with the physician's processor and the remote processor. A patient inputs data to the internal processor responsive to input from the physician's processor and then transmits the information to the remote processor where an optimized number of units to be administered is sent back and displayed on the portable telephone.

A user is enabled to request a visual review of a plurality of subsets of aggregate brain activity data, and the data contained in each subset are transformed into a visual display presented to the user. Significantly, rather than requiring the user to separately request a visual display of each selected subset, a visual display for each different subset is automatically sequentially displayed, based upon a single user request. This sequential display is particularly useful where the data from each subset cannot be readily displayed simultaneously. Thus, if twenty subsets are selected by the user from the aggregate brain activity data, then twenty different visual displays will be selectively generated and sequentially displayed in response to a single user request. Such subsets can be defined by annotations, where such annotations are defined by a patient input, an automated review, or an expert review.

The techniques described herein relate identification of disease-causing genetic variant by machine learning classification. The techniques may include receiving a training dataset of predetermined variants associated with disease. A hyperplane is identified having a maximum margin between points of the dataset. Patient input data is received including an observed variant of a gene. Features of the observed variant are selected, and a score is determined The score is determined using Support Vector Machine algorithms based on an observation of a novel non-linear relationship with the selected features of the observed variant. The observed variant may be classified based on the score indicating a distance of the observed variant from the identified hyperplane.

The invention provides an auxiliary registration method based on a Bayes text classification model. The method comprises the step of obtaining symptom chief complaint text data and preprocessing the data, the step of training the preprocessed data based on the Bayes text classifying algorithm, and the step of assessing auxiliary registration classification models on which training is carried out and applying the model with the performance meeting the requirement to the auxiliary network appointment registration. In the process of Bayes theory training, optimization is carried out from two aspects according to the characteristics of symptom main complaint data, and in one aspect, absolute weight is given based on a core symptom word list in the vector weight calculating process; in the other aspect, the layering Bayes model is used for carrying out training according to the illness large classes and characteristics. According to the auxiliary registration method, the auxiliary classification model is obtained by training the symptom chief complaint text data, and the processing capacity of patient input is improved under the disease consulting, registration consulting and other typical scenes.

Presented are systems and methods for providing doctors and patients with treatment information based on computer-aided diagnoses that has been generated using patient input, electronic health care record information, and medical instrument input data. The treatment and/or diagnostic information may be shared with health care professionals and specialists, as needed.

A treatment system and method includes a treatment system server having a building block module to generate modular, interactive building blocks for treatment regimens. The building blocks represent a time-sensitive aspect of the treatment regimen, and are selectively assembled by a care provider client computer in substantially any combination, to form a customized treatment regimen. An assembly module transforms the building blocks into entries on a calendar viewable on a patient client computer. A transformation module transforms the patient input data into a display of patient progress. The treatment system server permits selective access to the treatment program by client computers. A webserver hosts a website to enable client computers to access the treatment system server. A treatment plan database server stores the assembled treatment plans. A communications server provides secure communications between care provider client computers and patient client computers, and between the webserver and a patient record database.

The apparatus provides active and passive exercise to the hand and wrist of a patient afflicted with the symptoms of reflex sympathetic dystrophy. The apparatus employs a hand or wrist glove to be worn by the patient's affected hand, the back of which is attached through an arm to a central post and the distal portion encasing the fingers, is attached to a vertical handle, which is rotated about the post, serving as the axis of rotation. A torque sensor is coupled to the motor shaft to measure the degree of patient input from a programmed speed and force rate by sensing the active input of the patient and reducing the motor input to the cycle allowing the patient to “drive” the exercise.

The invention provides an automatic issuing system of clopidogrel medication related gene test reports. Each test report contains much information like basic information of a patient, test result, test conclusion and personalized medication suggestion, the system can effectively integrate and display the much information in a centralized manner, and the personalized medication suggestion portion can be directly applied mechanically after being edited in a unified manner and can be added with personalized remark information; the test reports can be issued quickly, efficiently and accurately according to results of genotype of related genes (CYP 2C19, PON1 and ABCB1 genes) on a gene testing instrument even if there are many testing cases, and the system can automatically issue the test reports as long as the patients input basic clinical information and gene testing results. Consumption of a lot of manpower when issuing troublesome reports is avoided, a lot of time cost can be saved, anderror rate during report issuing can be lowered, so that the system is convenient for medical staff to use in clinical work.

A portable apparatus for managing a plurality of events related to a patient and for recording and storing input data related to said events is disclosed. The portable apparatus comprises a man machine user interface; a timer unit; a control unit, arranged to provide an invitation to the patient as an instruction via the interface to perform a motion exercise, upon a trigger from the timer unit or upon a patient self initiation. In an embodiment the apparatus comprises a sensor to record measurements related to said motion exercise. Further, a storage unit is arranged to retrievably store patient input data and said measurements. This enables diagnosing a degree of a neurological disease or an effect of a medication on said neurological disease.

A user is enabled to request a visual review of a plurality of subsets of aggregate brain activity data, and the data contained in each subset are transformed into a visual display presented to the user. Significantly, rather than requiring the user to separately request a visual display of each selected subset, a visual display for each different subset is automatically sequentially displayed, based upon a single user request. This sequential display is particularly useful where the data from each subset cannot be readily displayed simultaneously. Thus, if twenty subsets are selected by the user from the aggregate brain activity data, then twenty different visual displays will be selectively generated and sequentially displayed in response to a single user request. Such subsets can be defined by annotations, where such annotations are defined by a patient input, an automated review, or an expert review.

A computer implemented online patient lead system includes a medical service provider database storing information for medical services offered by medical service providers, and a patient interface module cooperating with the medical service provider database for prompting and receiving patient input data over the Internet relating to a selected medical service offered by at least one selected medical service provider. The patient lead system may further include a financing module cooperating with the patient interface module and the medical service provider database for determining patient financing approval for the selected medical service, and notifying the at least one selected medical service provider of patient financing approval to thereby serve as a patient lead.

An implantable loop recorder (ILR) is subcutaneously implantable to record cardiac data. The ILR includes a patient activation mechanism whereby the patient can input commands to the ILR without using an external device. The patient activation mechanism may be a subcutaneous switch disposed on an outer portion of the ILR or a motion sensor that senses tapping of the device as an input. The patient input will direct the device to store data, telemeter data, or send a message summoning an emergency response. The ILR has distance telemetry capabilities so that a telemetered message is wirelessly transmitted to an external device which then relays the message to a remote location.

A method for building a Patient's Data Set from a Patient's Data File to provide robust patient care comprising the steps of obtaining a Patient's Data File, building a training set for machine learning through experts' selection of at least one desired feature from the Patient's Data File to create the Patient's Data Set, developing a data mining algorithm to automate extraction of at least one data feature from at least one other Patient's Data File using the training set, the algorithm automatically generating the Patient's Data Set from at least one other Patient's Data File, supplementing the Patient's Data Set with at least one patient input, and analyzing the Patient's Data Set to confirm patient course of treatment.